Agent skill · software engineering · membranedev
google-vertex-ai
Google Vertex AI integration. Manage Projects. Use when the user wants to interact with Google Vertex AI data.
Why this skill is useful
Provides specific commands and workflows for managing Google Vertex AI projects that the AI wouldn't reliably generate on its own.
What it needs
Requires @membranehq/cli installed locally. Requires membrane account access. About 5k tokens when loaded. Last updated 2026-04-28. 253 stars on the source repository.
What this skill does
Google Vertex AI Google Vertex AI is a machine learning platform that allows data scientists and ML engineers to build, deploy, and scale ML models. It provides a unified platform for the entire ML lifecycle, from data preparation to model deployment and monitoring. It's used by organizations looking to leverage Google's AI infrastructure and tools for their machine learning needs. Official docs: https://cloud.google.com/vertex-ai/docs Google Vertex AI Overview Model Model Version Endpoint Deployed Model Dataset Featurestore EntityType Feature Training Pipeline Custom Job Hyperparameter Tuning Job Batch Prediction Job Working with Google Vertex AI This skill uses the Membrane CLI to interact with Google Vertex AI. Membrane handles authentication and credentials refresh automatically — so you can focus on the integration logic rather than auth plumbing. Install the CLI Install the Membrane CLI so you can run membrane from the terminal: Authentication This will either open a browser for authentication or print an authorization URL to the console, depending on whether interactive mode is available. Headless environments: The command will print an authorization URL. Ask the user to open it in a browser. When they see a code after completing login, finish with: Add --json to any command for machine-readable JSON output. Agent Types : claude, openclaw, codex, warp, windsurf, etc. Those will be used to adjust tooling to be used best with your harness Connecting to Google Vertex AI Use membrane connection ensure to find or create a connection by app URL or domain: The user completes authentication in the browser. The output contains the new connection id. This is the fastest way to get a connection. The URL is normalized to a domain and matched against known apps. If no app is found, one is created and a connector is built automatically. If the returned connection has state: "READY", skip to Step 2. 1b. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills membranedev/google-vertex-ai